Jobs in the United States

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Added 1 min ago
Director/AD, Computational DMPK (Drug Metabolism & Pharmacokinetics)
Deep Origin
Remote, United States
…biology, streamline R&D workflows, and enable scientists to model complex biological systems at…
Added 3 mins ago
Senior Principal Embedded Engineer, AI Solutions
Autodesk
Remote, United States
…strategic Autodesk customers to discover high-value workflows, model the data those workflows depend on, and build the AI systems for their Design & Make workflows to enable customer’s…
Added 3 mins ago
Planning Engineer
Actalent
Chattanooga, TN
…desk. Responsibilities: Pre-Planning Concept / Invest (New model & model change manufacturing equipment upgrades and investment estimations) Specification Development (Develop new…
Added 4 mins ago
Process Integration and Technology Development Engineer
onsemi
Gresham, OR
Experience using scripting languages (e.g., Python, MATLAB, JMP, or equivalent) for data analysis, automation, or model development.
Added 4 mins ago
WD
Staff Machine Learning Engineer
Walt Disney Pictures
Burbank, CA
- $158,100 to $211,900 USD / year
Define evaluation methods, including for generative and subjective output, that tie model quality to real user outcomes.
Added 5 mins ago
Senior Systems Architect
Euna Solutions
Atlanta, GA
Experience with centralized AI capability delivery, including model access patterns, data handling, and technical guardrails.
Added 5 mins ago
Senior Forward Deployed Engineer (FDE Lead
ewminds consulting Services
East Pittsburgh, PA
Define and implement a scalable model for transitioning solutions from prototype to long-term ownership by internal teams.
Added 6 mins ago
Principal AI & Secure Platform Architect
Cirrus Logic
Austin, TX
…development of next-generation software infrastructure and developer ecosystems for advanced semiconductor platforms. As part of Cirrus Logic Venture Labs (CVL), this role will help shape…
Added 8 mins ago
Sr. System Development Engineer, Amazon Leo
Amazon Kuiper Manufacturing Enterprises LLC
Bellevue, WA
…Comprehend for intelligent automation, including building MCP (Model Context Protocol) tool servers, Fiori integration patterns (BAdI extension calls, side panel plugins, full custom agent…
Added 9 mins ago
O
Director, Data Center Operations
Oracle
Ashburn, VA · Washington, DC
- $146,300 to $306,400 USD / year
…applicable to ensure strategic objectives are met. Serves as a role model for appropriately delegating work, setting priorities, and ensuring alignment with business needs. Coaches others…
Added 9 mins ago
O
Director, Data Center Infrastructure Delivery
Oracle
VA
- $146,300 to $306,400 USD / year
…applicable to ensure strategic objectives are met. Serves as a role model for appropriately delegating work, setting…
Added 9 mins ago
Account Executive
Konica Minolta Business Solutions, U.S.A., Inc.
Blue Bell, PA
Added 10 mins ago
M
Senior Manager, Future Mobility BD & Strategy
Metropolis
NY
- $165,000 to $185,000 USD / year
…experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity…
Added 10 mins ago
M
Senior Manager, Future Mobility BD & Strategy
Metropolis
Los Angeles, CA · NY
- $165,000 to $185,000 USD / year
…experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity…
Added 10 mins ago
M
Senior Manager, Future Mobility BD & Strategy
Metropolis
San Francisco, CA · NY
- $165,000 to $185,000 USD / year
…experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity…
Added 11 mins ago
C
Founding Engineer
Clera
San Francisco, CA
- $180,000 to $250,000 USD / year
…React and Next.js, cloud platforms such as GCP, and production model integrations is helpful. Experience with other stacks is…
Added 14 mins ago
Lead Data Engineer
Docusign
San Francisco, CA · Seattle, WA
Normalize provider-specific billing and usage data into a consistent, FOCUS-aligned model
Added 14 mins ago
Sr Enterprise Account Exec ( Armis / Veza )
ServiceNow
Remote, United States
You will produce new business sales revenue from a SaaS license model. You will accomplish this through account planning, territory planning, researching prospect customers, using business…
Added 15 mins ago
Lead Software Engineer - Enterprise AI Services & Agents
Wellmark, Inc.
Des Moines, IA
Experience integrating models, enterprise tools, data, and services through APIs or standards such as Model Context Protocol (MCP).
Added 15 mins ago
Senior Backend Software Engineer- (AI Platform)
Databricks
Mountain View, CA · San Francisco, CA
As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search. You’ll be joining a…
Added 15 mins ago
CR
Sales Manager (Part Time)
Carter's Retail Inc.
Miami-Midtown, FL
- Part-time
Consistently model service standards and omni-channel experience while coaching others to success
Added 15 mins ago
CR
Sales Manager (Part Time)
Carter's Retail Inc.
Compton, CA
- $20.75 to $24.75 USD / hour
- Part-time
Consistently model service standards and omni-channel experience while coaching others to success
Added 16 mins ago
T
Sr. Data Scientist
TEKsystems
Dallas, TX
- $60 to $75 USD / hour
…Machine Learning pipeline development and productionization (model deployment, orchestration, monitoring, and optimization)Description3+ years of experience.Minimum Qualifications Education…
Added 17 mins ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
Drive model optimization techniques (quantization, distillation, caching) to improve performance and cost.
Added 17 mins ago
Software Engineer (AI Agents)
Fluent, LLC
Remote, United States
…because the hard part of most of these workflows is not the model. It is getting trusted data and reliable actions in front of…

Senior AI Software Developer & Engineer (US Citizen)

Remote, United States

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Job details

Experience: 8+ years of applied AI/ML experience, including building and deploying production systems (LLMs, generative AI, and large-scale or distributed model systems).
Posting language: English
Posted: Nov 6, 2026

Original job description

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Job Type

Full-time

Description

NOTE: This is a full-time employment opportunity and open to W2, 1099, or C2C (no third parties or staffing agencies, please). The candidate MUST be a U.S. Citizen (preferred) or U.S, Permanent Resident (GC). This is a remote opportunity; candidate must be based in the U.S.; preference given to candidates in the Washington DC, Maryland, Virginia (DMV) area; ET zone work schedule.

Daily Responsibilities

Serve as a senior, hands-on full-stack AI engineer and technical authority, leading the technical strategy, design, and delivery of large-scale mission-critical AI systems supporting federal programs.
Serve as the primary technical authority, defining AI and application architecture across multiple programs.
Lead architecture for distributed, cloud-native, and hybrid AI systems.
Define and enforce reference architectures, standards, and reusable frameworks.
Establish enterprise modernization roadmaps aligned to mission outcomes, compliance, and scalability.
Drive cross-program technical decision-making to ensure interoperability, security, and long-term sustainability.
Advise senior federal stakeholders (SES-level and above) on AI adoption, modernization, and risk management.
Build full-stack AI applications end to end, from user-facing interfaces to back-end services, APIs, and data layers.
Lead design, development, and deployment of advanced AI solutions using Python as the primary development language, including large language models (LLMs) and foundation models, Retrieval-Augmented Generation (RAG) systems, agentic workflows, and orchestration frameworks.
Architect and implement scalable ML systems and services built on Python-based frameworks and APIs.
Integrate AI and LLM capabilities into existing enterprise applications and legacy platforms (e.g., content management, case management, and records systems) via APIs, middleware, and event-driven patterns.
Define and implement distributed training strategies (GPU/TPU clusters, parallelization, optimization).
Oversee full ML lifecycle in partnership with the senior data scientist: data pipelines, feature engineering, training, evaluation, deployment, and monitoring.
Drive model optimization techniques (quantization, distillation, caching) to improve performance and cost.
Establish robust MLOps practices leveraging Python-driven automation, pipelines, and tooling.
Stand up the enterprise CI/CD-to-AI/MLOps pipeline, beginning with time-boxed proofs of concept and MVP implementations that mature into production systems.
Serve as SME in federal AI policy (e.g., NIST AI RMF, OMB M-25-21 and M-25-22, Executive Order 14179).
Define and operationalize Responsible AI frameworks, including model validation and evaluation, bias mitigation and fairness, and explainability, auditability, and safety.
Ensure compliance with FISMA, FedRAMP, NIST 800-53, privacy, and Section 508 requirements.
Lead large-scale modernization initiatives (e.g., legacy-to-cloud, microservices transformation, including Python-based refactoring and re-platforming efforts).
Define repeatable modernization frameworks and accelerators.
Oversee DevSecOps pipelines, CI/CD automation, zero-trust architectures, and secure software supply chain practices.
Ensure delivery of resilient, high-availability systems in regulated federal environments.
Lead multiple concurrent engineering efforts across integrated teams.
Provide technical leadership to architects, engineers, and DevSecOps specialists, including establishing Python coding standards and engineering best practices.
Mentor senior engineers and technical leaders; elevate engineering excellence and code quality.
Support technical strategy in proposals, captures, and client engagements.
Contribute to thought leadership (whitepapers, architecture patterns, platform strategy).
Executive communication skills with experience influencing senior leaders.

Requirements

Must of a U.S. Citizen (preferred) or U.S. Permanent Resident (GC), as mandated by our government client.
Must be able to complete/pass/hold at a minimum a Public Trust Investigation / background check. An active clearance (e.g. Public Trust, Secret, or higher) is preferred.
Must be based / reside in the U.S, preference given to candidates in the DMV area.
12+ years of software engineering experience combining senior technical leadership, hands-on expertise in Python-based AI/ML systems (including large language models), and ownership of enterprise architecture, governance, and innovation.
8+ years of applied AI/ML experience, including building and deploying production systems (LLMs, generative AI, and large-scale or distributed model systems).
Expert-level Python development experience, including designing production-grade ML systems, data pipelines, and microservices-based architectures.
Hands-on experience with ML frameworks (PyTorch, TensorFlow, JAX) and distributed training (DeepSpeed, FSDP, Horovod).
Full-stack engineering skills, including front-end frameworks, back-end services, RESTful APIs, microservices, and cloud-native deployment (e.g., containers, Kubernetes).
Deep experience with cloud platforms (Azure, AWS, GCP), including FedRAMP environments and designing AI systems in cloud-native, distributed environments.
Deep expertise in machine learning and deep learning, particularly transformer-based models and LLMs.
Hands-on experience with LLM application stacks, including orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel), embeddings, vector databases, and prompt engineering.
Experience with AI platforms and architectures (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI, RAG, agents).
Proven success delivering enterprise-scale systems and modernization programs.
Strong background in microservices, APIs, distributed systems, and DevSecOps practices.
Experience managing GPU-based infrastructure or high-performance ML environments.
Demonstrated ability to translate AI research into production system.
Proven ability to integrate AI capabilities into existing and legacy enterprise systems (e.g., legacy CMS or COTS platforms) using APIs, middleware, connectors, and event-driven architectures.
Strong understanding of large-scale data systems and ML evaluation methodologies.
Experience working with sensitive data, including PII safeguards such as anonymization, masking, and data loss prevention.
Experience with enterprise integration technologies, including REST/SOAP services, message queues, ETL pipelines, and SQL/NoSQL databases.
Proficiency with managed generative AI services (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI) and integrating frontier models such as GPT, Claude, and Gemini.
Demonstrated ability to own solutions end to end - from discovery and prototyping through production deployment, integration, and ongoing support.
Ability to balance strategic vision with deep hands-on technical execution.
Excellent analytical skills, attention to detail, and strong problem-solving abilities.
Excellent communication and collaboration skills to communicate complex analytical insights to executive and non-technical stakeholders. Ability to translate ambiguous business questions into analytical solutions.
Experience with federal civilian agencies preferred.
BS or MS degree (preferred) in engineering, data science, computer science, statistics or related field.

This role is open to W2 or 1099/C2C engagements. Compensation/rate decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. $155k -$175k.

Salary Description

$155k - $175k

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More about this job

Skills

Regulatory compliance
Decision making
Risk management
Python
ML
CI/CD
Microservices
Supply chain management
Leadership
Communication skills
PyTorch
TensorFlow
API development
Kubernetes
Microsoft Azure
AWS
Google Cloud
Machine learning
Deep learning
LangChain
Research
CMS
Loss prevention
Data engineering
SQL
NoSQL
Analytical skills
Attention to detail
Problem solving
Collaboration
Computer science
Statistics

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